SMB Climate EDA

Brought to you by YData

Dataset statistics

Number of variables	17
Number of observations	580705
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	402.5 MiB
Average record size in memory	726.8 B

Variable types

Text	4
Categorical	5
Numeric	8

Alerts

`emissions_t_CO2e` is highly overall correlated with `employees` and 1 other fields	High correlation
`employees` is highly overall correlated with `emissions_t_CO2e` and 1 other fields	High correlation
`industry_name` is highly overall correlated with `sector_code`	High correlation
`initiative_capex_GBP` is highly overall correlated with `initiative_financial_savings_GBP`	High correlation
`initiative_categories` is highly overall correlated with `initiative_id` and 1 other fields	High correlation
`initiative_financial_savings_GBP` is highly overall correlated with `initiative_capex_GBP`	High correlation
`initiative_id` is highly overall correlated with `initiative_categories` and 3 other fields	High correlation
`initiative_implementation_difficulty` is highly overall correlated with `initiative_id` and 2 other fields	High correlation
`initiative_name` is highly overall correlated with `initiative_categories` and 3 other fields	High correlation
`initiative_operation_difficulty` is highly overall correlated with `initiative_id` and 2 other fields	High correlation
`sector_code` is highly overall correlated with `industry_name`	High correlation
`turnover` is highly overall correlated with `emissions_t_CO2e` and 1 other fields	High correlation
`turnover` is highly skewed (γ1 = 70.00006879)	Skewed
`employees` is highly skewed (γ1 = 35.94868897)	Skewed
`emissions_t_CO2e` is highly skewed (γ1 = 65.80633861)	Skewed
`initiative_financial_savings_GBP` is highly skewed (γ1 = 78.86209053)	Skewed
`initiative_capex_GBP` is highly skewed (γ1 = 26.03918668)	Skewed
`initiative_carbon_savings_t_CO2e` has 27627 (4.8%) zeros	Zeros
`initiative_financial_savings_GBP` has 42724 (7.4%) zeros	Zeros
`initiative_capex_GBP` has 257522 (44.3%) zeros	Zeros

Reproduction

Analysis started	2025-05-20 23:45:13.082127
Analysis finished	2025-05-20 23:45:44.349555
Duration	31.27 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

company_id
Text

Distinct	27905
Distinct (%)	4.8%
Missing	0
Missing (%)	0.0%
Memory size	44.9 MiB

Length

Max length	32
Median length	32
Mean length	32
Min length	32

Characters and Unicode

Total characters	18582560
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	276 ?
Unique (%)	< 0.1%

Sample

1st row	17ddb3e9830082f66734f5655c0e34a8
2nd row	17ddb3e9830082f66734f5655c0e34a8
3rd row	17ddb3e9830082f66734f5655c0e34a8
4th row	17ddb3e9830082f66734f5655c0e34a8
5th row	17ddb3e9830082f66734f5655c0e34a8

Value	Count	Frequency (%)
ae0789c5693a5f3d0beb2174d9d9fc9d	33	< 0.1%
5ec02ef1e9f7a67cd28298f25e8b6b97	33	< 0.1%
79fddc6adf723bb6b11b78b4f02bd04f	33	< 0.1%
710d9aef5812784b5add4afe65dad58a	33	< 0.1%
9eb845e8210f6f0fc920151f4bac4ce2	33	< 0.1%
3e8716e3e74a1e31a45a8cc983aa6e4a	32	< 0.1%
0c9108b2b08358b2113ed5ba20698e44	32	< 0.1%
c5440bf9a2191ddbf31cd3482182ce8c	32	< 0.1%
c64c834104f3d6b62f45b4ab55767351	32	< 0.1%
89e4d69b8948374b5dc8640076430d2a	32	< 0.1%
Other values (27895)	580380	99.9%

Most occurring characters

Value	Count	Frequency (%)
c	1172602	6.3%
8	1169827	6.3%
4	1169493	6.3%
6	1168710	6.3%
e	1164077	6.3%
a	1164030	6.3%
7	1163679	6.3%
3	1163068	6.3%
d	1161445	6.3%
f	1160607	6.2%
Other values (6)	6925022	37.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18582560	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
c	1172602	6.3%
8	1169827	6.3%
4	1169493	6.3%
6	1168710	6.3%
e	1164077	6.3%
a	1164030	6.3%
7	1163679	6.3%
3	1163068	6.3%
d	1161445	6.3%
f	1160607	6.2%
Other values (6)	6925022	37.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18582560	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
c	1172602	6.3%
8	1169827	6.3%
4	1169493	6.3%
6	1168710	6.3%
e	1164077	6.3%
a	1164030	6.3%
7	1163679	6.3%
3	1163068	6.3%
d	1161445	6.3%
f	1160607	6.2%
Other values (6)	6925022	37.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18582560	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
c	1172602	6.3%
8	1169827	6.3%
4	1169493	6.3%
6	1168710	6.3%
e	1164077	6.3%
a	1164030	6.3%
7	1163679	6.3%
3	1163068	6.3%
d	1161445	6.3%
f	1160607	6.2%
Other values (6)	6925022	37.3%

industry_name
Categorical

High correlation

Distinct	20
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	47.7 MiB

M: PROFESSIONAL AND SCIENTIFIC AND TECHNICAL ACTIVITIES	95621
P: EDUCATION	82331
C: MANUFACTURING	81704
N: ADMINISTRATIVE AND SUPPORT SERVICE ACTIVITIES	71213
G: WHOLESALE AND RETAIL TRADE; REPAIR OF MOTOR VEHICLES AND MOTORCYCLES	48592
Other values (15)	201244

Length

Max length	125
Median length	58
Mean length	37.060375
Min length	12

Characters and Unicode

Total characters	21521145
Distinct characters	29
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	M: PROFESSIONAL AND SCIENTIFIC AND TECHNICAL ACTIVITIES
2nd row	M: PROFESSIONAL AND SCIENTIFIC AND TECHNICAL ACTIVITIES
3rd row	M: PROFESSIONAL AND SCIENTIFIC AND TECHNICAL ACTIVITIES
4th row	M: PROFESSIONAL AND SCIENTIFIC AND TECHNICAL ACTIVITIES
5th row	M: PROFESSIONAL AND SCIENTIFIC AND TECHNICAL ACTIVITIES

Common Values

Value	Count	Frequency (%)
M: PROFESSIONAL AND SCIENTIFIC AND TECHNICAL ACTIVITIES	95621	16.5%
P: EDUCATION	82331	14.2%
C: MANUFACTURING	81704	14.1%
N: ADMINISTRATIVE AND SUPPORT SERVICE ACTIVITIES	71213	12.3%
G: WHOLESALE AND RETAIL TRADE; REPAIR OF MOTOR VEHICLES AND MOTORCYCLES	48592	8.4%
Q: HUMAN HEALTH AND SOCIAL WORK ACTIVITIES	42309	7.3%
I: ACCOMMODATION AND FOOD SERVICE ACTIVITIES	40854	7.0%
J: INFORMATION AND COMMUNICATION	34000	5.9%
F: CONSTRUCTION	20971	3.6%
S: OTHER SERVICE ACTIVITIES	17007	2.9%
Other values (10)	46103	7.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
and	531890	17.8%
activities	280704	9.4%
service	129074	4.3%
m	95621	3.2%
professional	95621	3.2%
technical	95621	3.2%
scientific	95621	3.2%
education	82331	2.8%
p	82331	2.8%
c	81704	2.7%
Other values (75)	1420256	47.5%

Most occurring characters

Value	Count	Frequency (%)
	2410069	11.2%
I	2323317	10.8%
A	1997407	9.3%
T	1702300	7.9%
E	1588821	7.4%
N	1576036	7.3%
C	1438578	6.7%
O	1181197	5.5%
S	1134158	5.3%
R	1001727	4.7%
Other values (19)	5167535	24.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	21521145	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	2410069	11.2%
I	2323317	10.8%
A	1997407	9.3%
T	1702300	7.9%
E	1588821	7.4%
N	1576036	7.3%
C	1438578	6.7%
O	1181197	5.5%
S	1134158	5.3%
R	1001727	4.7%
Other values (19)	5167535	24.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	21521145	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	2410069	11.2%
I	2323317	10.8%
A	1997407	9.3%
T	1702300	7.9%
E	1588821	7.4%
N	1576036	7.3%
C	1438578	6.7%
O	1181197	5.5%
S	1134158	5.3%
R	1001727	4.7%
Other values (19)	5167535	24.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	21521145	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	2410069	11.2%
I	2323317	10.8%
A	1997407	9.3%
T	1702300	7.9%
E	1588821	7.4%
N	1576036	7.3%
C	1438578	6.7%
O	1181197	5.5%
S	1134158	5.3%
R	1001727	4.7%
Other values (19)	5167535	24.0%

sector_code
Real number (ℝ)

High correlation

Distinct	128
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	95.478527

Minimum	1
Maximum	692
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.4 MiB

Quantile statistics

Minimum	1
5-th percentile	28
Q1	55
median	74
Q3	85
95-th percentile	255
Maximum	692
Range	691
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	108.8787
Coefficient of variation (CV)	1.1403475
Kurtosis	18.596033
Mean	95.478527
Median Absolute Deviation (MAD)	13
Skewness	4.2346606
Sum	55444858
Variance	11854.572
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
85	82331	14.2%
70	56591	9.7%
82	43638	7.5%
46	23234	4.0%
55	21198	3.7%
86	20582	3.5%
56	19656	3.4%
62	18739	3.2%
74	16122	2.8%
87	15472	2.7%
Other values (118)	263142	45.3%

Value	Count	Frequency (%)
1	1697	0.3%
2	134	< 0.1%
3	113	< 0.1%
5	33	< 0.1%
6	501	0.1%
7	97	< 0.1%
8	744	0.1%
9	562	0.1%
12	17	< 0.1%
13	1562	0.3%

Value	Count	Frequency (%)
692	1149	0.2%
691	2208	0.4%
683	3684	0.6%
682	4615	0.8%
681	1300	0.2%
495	19	< 0.1%
494	5078	0.9%
493	1860	0.3%
492	64	< 0.1%
491	176	< 0.1%

sector_name
Text

Distinct	128
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	50.1 MiB

Length

Max length	127
Median length	75
Mean length	41.527027
Min length	8

Characters and Unicode

Total characters	24114952
Distinct characters	45
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Other professional, scientific and technical activities
2nd row	Other professional, scientific and technical activities
3rd row	Other professional, scientific and technical activities
4th row	Other professional, scientific and technical activities
5th row	Other professional, scientific and technical activities

Value	Count	Frequency (%)
activities	368212	12.3%
and	326659	10.9%
of	207005	6.9%
other	100374	3.4%
support	91778	3.1%
office	87276	2.9%
education	82331	2.8%
consultancy	76479	2.6%
manufacture	63713	2.1%
management	56954	1.9%
Other values (313)	1526269	51.1%

Most occurring characters

Value	Count	Frequency (%)
	2406345	10.0%
i	2287022	9.5%
e	2254024	9.3%
t	2144842	8.9%
a	1932912	8.0%
c	1502766	6.2%
o	1413627	5.9%
n	1406927	5.8%
s	1388324	5.8%
r	1150760	4.8%
Other values (35)	6227403	25.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	24114952	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	2406345	10.0%
i	2287022	9.5%
e	2254024	9.3%
t	2144842	8.9%
a	1932912	8.0%
c	1502766	6.2%
o	1413627	5.9%
n	1406927	5.8%
s	1388324	5.8%
r	1150760	4.8%
Other values (35)	6227403	25.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	24114952	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	2406345	10.0%
i	2287022	9.5%
e	2254024	9.3%
t	2144842	8.9%
a	1932912	8.0%
c	1502766	6.2%
o	1413627	5.9%
n	1406927	5.8%
s	1388324	5.8%
r	1150760	4.8%
Other values (35)	6227403	25.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	24114952	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	2406345	10.0%
i	2287022	9.5%
e	2254024	9.3%
t	2144842	8.9%
a	1932912	8.0%
c	1502766	6.2%
o	1413627	5.9%
n	1406927	5.8%
s	1388324	5.8%
r	1150760	4.8%
Other values (35)	6227403	25.8%

geography_id
Text

Distinct	360
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	33.8 MiB

Length

Max length	12
Median length	12
Mean length	12
Min length	12

Characters and Unicode

Total characters	6968460
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	GB_E07000180
2nd row	GB_E07000180
3rd row	GB_E07000180
4th row	GB_E07000180
5th row	GB_E07000180

Value	Count	Frequency (%)
gb_e09000033	30694	5.3%
gb_e09000001	28295	4.9%
gb_e09000007	13824	2.4%
gb_e09000028	9769	1.7%
gb_e08000025	9549	1.6%
gb_e08000035	8820	1.5%
gb_e09000019	8517	1.5%
gb_e08000003	7847	1.4%
gb_e09000030	6826	1.2%
gb_e06000060	5906	1.0%
Other values (350)	450658	77.6%

Most occurring characters

Value	Count	Frequency (%)
0	2945126	42.3%
G	580705	8.3%
_	580705	8.3%
B	580705	8.3%
E	525448	7.5%
1	264273	3.8%
9	236884	3.4%
7	232152	3.3%
6	222727	3.2%
2	218312	3.1%
Other values (7)	581423	8.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	6968460	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	2945126	42.3%
G	580705	8.3%
_	580705	8.3%
B	580705	8.3%
E	525448	7.5%
1	264273	3.8%
9	236884	3.4%
7	232152	3.3%
6	222727	3.2%
2	218312	3.1%
Other values (7)	581423	8.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	6968460	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	2945126	42.3%
G	580705	8.3%
_	580705	8.3%
B	580705	8.3%
E	525448	7.5%
1	264273	3.8%
9	236884	3.4%
7	232152	3.3%
6	222727	3.2%
2	218312	3.1%
Other values (7)	581423	8.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	6968460	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	2945126	42.3%
G	580705	8.3%
_	580705	8.3%
B	580705	8.3%
E	525448	7.5%
1	264273	3.8%
9	236884	3.4%
7	232152	3.3%
6	222727	3.2%
2	218312	3.1%
Other values (7)	581423	8.3%

geography_name
Text

Distinct	360
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	33.5 MiB

Length

Max length	36
Median length	25
Mean length	11.525603
Min length	4

Characters and Unicode

Total characters	6692975
Distinct characters	50
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Vale of White Horse
2nd row	Vale of White Horse
3rd row	Vale of White Horse
4th row	Vale of White Horse
5th row	Vale of White Horse

Value	Count	Frequency (%)
city	52553	5.7%
of	48171	5.3%
and	43424	4.7%
westminster	30694	3.3%
london	28295	3.1%
north	22127	2.4%
east	17732	1.9%
west	16169	1.8%
camden	13824	1.5%
south	13059	1.4%
Other values (398)	630597	68.8%

Most occurring characters

Value	Count	Frequency (%)
e	631323	9.4%
o	493098	7.4%
r	486815	7.3%
n	469290	7.0%
t	445630	6.7%
i	376326	5.6%
a	372787	5.6%
s	364372	5.4%
	335940	5.0%
h	304093	4.5%
Other values (40)	2413301	36.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	6692975	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	631323	9.4%
o	493098	7.4%
r	486815	7.3%
n	469290	7.0%
t	445630	6.7%
i	376326	5.6%
a	372787	5.6%
s	364372	5.4%
	335940	5.0%
h	304093	4.5%
Other values (40)	2413301	36.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	6692975	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	631323	9.4%
o	493098	7.4%
r	486815	7.3%
n	469290	7.0%
t	445630	6.7%
i	376326	5.6%
a	372787	5.6%
s	364372	5.4%
	335940	5.0%
h	304093	4.5%
Other values (40)	2413301	36.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	6692975	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	631323	9.4%
o	493098	7.4%
r	486815	7.3%
n	469290	7.0%
t	445630	6.7%
i	376326	5.6%
a	372787	5.6%
s	364372	5.4%
	335940	5.0%
h	304093	4.5%
Other values (40)	2413301	36.1%

turnover
Real number (ℝ)

High correlation Skewed

Distinct	25697
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.9791693 × 10⁸

Minimum	100
Maximum	2.53676 × 10¹¹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.4 MiB

Quantile statistics

Minimum	100
5-th percentile	4303000
Q1	11800000
median	25459925
Q3	67805000
95-th percentile	4.66511 × 10⁸
Maximum	2.53676 × 10¹¹
Range	2.53676 × 10¹¹
Interquartile range (IQR)	56005000

Descriptive statistics

Standard deviation	2.4871591 × 10⁹
Coefficient of variation (CV)	12.566682
Kurtosis	6305.5122
Mean	1.9791693 × 10⁸
Median Absolute Deviation (MAD)	17360049
Skewness	70.000069
Sum	1.1493135 × 10¹⁴
Variance	6.1859602 × 10¹⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
18274000	142	< 0.1%
9206000	139	< 0.1%
12425000	125	< 0.1%
10390000	120	< 0.1%
9300000	119	< 0.1%
38460000	115	< 0.1%
6706000	114	< 0.1%
28485000	111	< 0.1%
2913000000	108	< 0.1%
11485000	104	< 0.1%
Other values (25687)	579508	99.8%

Value	Count	Frequency (%)
100	14	< 0.1%
256.7	4	< 0.1%
917	14	< 0.1%
1464	3	< 0.1%
1737	23	< 0.1%
1977	23	< 0.1%
3000	14	< 0.1%
3305	14	< 0.1%
5432	15	< 0.1%
5600	16	< 0.1%

Value	Count	Frequency (%)
2.53676 × 10¹¹	28	< 0.1%
1.67215 × 10¹¹	30	< 0.1%
6.5762 × 10¹⁰	18	< 0.1%
5.3195 × 10¹⁰	28	< 0.1%
4.9145 × 10¹⁰	28	< 0.1%
4.7481 × 10¹⁰	17	< 0.1%
4.5152 × 10¹⁰	16	< 0.1%
4.2418 × 10¹⁰	29	< 0.1%
4.0178 × 10¹⁰	18	< 0.1%
3.5958 × 10¹⁰	18	< 0.1%

employees
Real number (ℝ)

High correlation Skewed

Distinct	2950
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	993.71667

Minimum	11
Maximum	619000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.4 MiB

Quantile statistics

Minimum	11
5-th percentile	77
Q1	117
median	196
Q3	417
95-th percentile	2081
Maximum	619000
Range	618989
Interquartile range (IQR)	300

Descriptive statistics

Standard deviation	9550.76
Coefficient of variation (CV)	9.6111501
Kurtosis	1672.4734
Mean	993.71667
Median Absolute Deviation (MAD)	98
Skewness	35.948689
Sum	5.7705624 × 10⁸
Variance	91217017
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
85	4333	0.7%
89	4247	0.7%
88	4181	0.7%
90	4141	0.7%
86	4017	0.7%
87	3982	0.7%
95	3680	0.6%
104	3653	0.6%
91	3621	0.6%
93	3590	0.6%
Other values (2940)	541260	93.2%

Value	Count	Frequency (%)
11	40	< 0.1%
12	69	< 0.1%
13	19	< 0.1%
14	21	< 0.1%
15	37	< 0.1%
20	50	< 0.1%
23	15	< 0.1%
24	33	< 0.1%
25	14	< 0.1%
26	54	< 0.1%

Value	Count	Frequency (%)
619000	7	< 0.1%
568000	19	< 0.1%
562460	1	< 0.1%
554000	18	< 0.1%
483000	16	< 0.1%
401000	21	< 0.1%
398000	28	< 0.1%
389000	21	< 0.1%
318000	14	< 0.1%
252000	30	< 0.1%

emissions_t_CO2e
Real number (ℝ)

High correlation Skewed

Distinct	27639
Distinct (%)	4.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	9262.6656

Minimum	2.6974028
Maximum	17754379
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.4 MiB

Quantile statistics

Minimum	2.6974028
5-th percentile	56.417019
Q1	217.1933
median	654.0202
Q3	1893.191
95-th percentile	13816.238
Maximum	17754379
Range	17754377
Interquartile range (IQR)	1675.9977

Descriptive statistics

Standard deviation	176943.53
Coefficient of variation (CV)	19.102874
Kurtosis	5545.8856
Mean	9262.6656
Median Absolute Deviation (MAD)	528.86604
Skewness	65.806339
Sum	5.3788762 × 10⁹
Variance	3.1309013 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
192.65865	90	< 0.1%
1171.82455	90	< 0.1%
515.7168	78	< 0.1%
2237.2963	72	< 0.1%
1335.83205	69	< 0.1%
2697.54765	69	< 0.1%
554.356	62	< 0.1%
796.79665	61	< 0.1%
893.0443	61	< 0.1%
1359.63425	61	< 0.1%
Other values (27629)	579992	99.9%

Value	Count	Frequency (%)
2.6974028	19	< 0.1%
3.69347715	16	< 0.1%
5.8020656	19	< 0.1%
5.91779275	16	< 0.1%
8.0556467	25	< 0.1%
8.28460685	14	< 0.1%
8.3449303	25	< 0.1%
8.8236568	14	< 0.1%
9.5772768	18	< 0.1%
9.9648512	24	< 0.1%

Value	Count	Frequency (%)
17754379.26	17	< 0.1%
17541064.19	9	< 0.1%
13769821.79	6	< 0.1%
10369265.28	8	< 0.1%
9661355.2	17	< 0.1%
8710834.694	9	< 0.1%
8114309.193	10	< 0.1%
6568843.631	6	< 0.1%
6299193.586	9	< 0.1%
4994398.526	10	< 0.1%

initiative_id
Real number (ℝ)

High correlation

Distinct	49
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	62.468954

Minimum	9
Maximum	113
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	4.4 MiB

Quantile statistics

Minimum	9
5-th percentile	12
Q1	39
median	67
Q3	76
95-th percentile	110
Maximum	113
Range	104
Interquartile range (IQR)	37

Descriptive statistics

Standard deviation	30.431452
Coefficient of variation (CV)	0.48714522
Kurtosis	-0.79889869
Mean	62.468954
Median Absolute Deviation (MAD)	25
Skewness	-0.072881021
Sum	36276034
Variance	926.07328
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=49)

Value	Count	Frequency (%)
70	27627	4.8%
69	26427	4.6%
68	26365	4.5%
67	26330	4.5%
113	25936	4.5%
58	21865	3.8%
62	20282	3.5%
76	19364	3.3%
74	18305	3.2%
9	16123	2.8%
Other values (39)	352081	60.6%

Value	Count	Frequency (%)
9	16123	2.8%
11	12419	2.1%
12	13998	2.4%
13	13997	2.4%
16	13903	2.4%
17	13995	2.4%
21	13895	2.4%
36	15070	2.6%
37	11303	1.9%
38	11377	2.0%

Value	Count	Frequency (%)
113	25936	4.5%
112	54	< 0.1%
111	72	< 0.1%
110	16034	2.8%
109	1107	0.2%
108	15653	2.7%
107	15726	2.7%
105	15638	2.7%
104	15640	2.7%
103	171	< 0.1%

initiative_name
Categorical

High correlation

Distinct	49
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	52.1 MiB

Conduct an energy audit for ESOS compliance	27627
Regularly clean and change HVAC filters	26427
Insulate a boiler	26365
Install an economiser on an existing boiler	26330
Install optimiser to reduce grid voltage for electrical equipment	25936
Other values (44)	448020

Length

Max length	87
Median length	57
Mean length	45.036829
Min length	17

Characters and Unicode

Total characters	26153112
Distinct characters	49
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Configure power saving for electronics
2nd row	Install optimiser to reduce grid voltage for electrical equipment
3rd row	Replace 50% of milk with dairy alternatives in office canteens
4th row	Optimise food production in office canteens to meet demand
5th row	Purchase food for office canteens in sustainable packaging

Common Values

Value	Count	Frequency (%)
Conduct an energy audit for ESOS compliance	27627	4.8%
Regularly clean and change HVAC filters	26427	4.6%
Insulate a boiler	26365	4.5%
Install an economiser on an existing boiler	26330	4.5%
Install optimiser to reduce grid voltage for electrical equipment	25936	4.5%
Install a combined heat and power system	21865	3.8%
Install telematic devices to optimise vehicle movement	20282	3.5%
Use biodiesel in existing diesel fleets	19364	3.3%
Replace van tyres with eco-tyres	18305	3.2%
Replace light bulbs with LEDs	16123	2.8%
Other values (39)	352081	60.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
install	197694	4.9%
for	163527	4.1%
in	154887	3.9%
to	143617	3.6%
office	125555	3.1%
with	117992	2.9%
replace	109328	2.7%
an	90595	2.3%
a	89150	2.2%
canteens	78691	2.0%
Other values (160)	2743522	68.3%

Most occurring characters

Value	Count	Frequency (%)
	3433853	13.1%
e	2924222	11.2%
t	1793169	6.9%
i	1748677	6.7%
a	1688294	6.5%
n	1602888	6.1%
o	1563555	6.0%
s	1561338	6.0%
l	1382381	5.3%
r	1209428	4.6%
Other values (39)	7245307	27.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	26153112	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	3433853	13.1%
e	2924222	11.2%
t	1793169	6.9%
i	1748677	6.7%
a	1688294	6.5%
n	1602888	6.1%
o	1563555	6.0%
s	1561338	6.0%
l	1382381	5.3%
r	1209428	4.6%
Other values (39)	7245307	27.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	26153112	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	3433853	13.1%
e	2924222	11.2%
t	1793169	6.9%
i	1748677	6.7%
a	1688294	6.5%
n	1602888	6.1%
o	1563555	6.0%
s	1561338	6.0%
l	1382381	5.3%
r	1209428	4.6%
Other values (39)	7245307	27.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	26153112	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	3433853	13.1%
e	2924222	11.2%
t	1793169	6.9%
i	1748677	6.7%
a	1688294	6.5%
n	1602888	6.1%
o	1563555	6.0%
s	1561338	6.0%
l	1382381	5.3%
r	1209428	4.6%
Other values (39)	7245307	27.7%

initiative_categories
Categorical

High correlation

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	41.7 MiB

Fuel and energy conservation	261143
Transportation sustainability	137843
Waste reduction	71633
Sustainable policies and practices	42655
Travel sustainability	31347
Other values (3)	36084

Length

Max length	59
Median length	34
Mean length	26.329877
Min length	11

Characters and Unicode

Total characters	15289891
Distinct characters	27
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Fuel and energy conservation
2nd row	Fuel and energy conservation
3rd row	Sustainable policies and practices
4th row	Waste reduction
5th row	Waste reduction

Common Values

Value	Count	Frequency (%)
Fuel and energy conservation	261143	45.0%
Transportation sustainability	137843	23.7%
Waste reduction	71633	12.3%
Sustainable policies and practices	42655	7.3%
Travel sustainability	31347	5.4%
Disclosures	27627	4.8%
Infrastructure sustainability; Fuel and energy conservation	8286	1.4%
Supply chain sustainability	171	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
and	312084	17.6%
fuel	269429	15.2%
energy	269429	15.2%
conservation	269429	15.2%
sustainability	177647	10.0%
transportation	137843	7.8%
waste	71633	4.0%
reduction	71633	4.0%
sustainable	42655	2.4%
policies	42655	2.4%
Other values (6)	110257	6.2%

Most occurring characters

Value	Count	Frequency (%)
n	1696449	11.1%
a	1451895	9.5%
e	1416207	9.3%
i	1210264	7.9%
	1193989	7.8%
t	1145557	7.5%
s	1053331	6.9%
r	1012664	6.6%
o	956459	6.3%
u	605734	4.0%
Other values (17)	3547342	23.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	15289891	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	1696449	11.1%
a	1451895	9.5%
e	1416207	9.3%
i	1210264	7.9%
	1193989	7.8%
t	1145557	7.5%
s	1053331	6.9%
r	1012664	6.6%
o	956459	6.3%
u	605734	4.0%
Other values (17)	3547342	23.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	15289891	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	1696449	11.1%
a	1451895	9.5%
e	1416207	9.3%
i	1210264	7.9%
	1193989	7.8%
t	1145557	7.5%
s	1053331	6.9%
r	1012664	6.6%
o	956459	6.3%
u	605734	4.0%
Other values (17)	3547342	23.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	15289891	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	1696449	11.1%
a	1451895	9.5%
e	1416207	9.3%
i	1210264	7.9%
	1193989	7.8%
t	1145557	7.5%
s	1053331	6.9%
r	1012664	6.6%
o	956459	6.3%
u	605734	4.0%
Other values (17)	3547342	23.2%

initiative_carbon_savings_t_CO2e
Real number (ℝ)

Zeros

Distinct	66357
Distinct (%)	11.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	485.02103

Minimum	0
Maximum	160344.6
Zeros	27627
Zeros (%)	4.8%
Negative	0
Negative (%)	0.0%
Memory size	4.4 MiB

Quantile statistics

Minimum	0
5-th percentile	0.023295825
Q1	0.532875
median	8.70744
Q3	171.34
95-th percentile	1401.7811
Maximum	160344.6
Range	160344.6
Interquartile range (IQR)	170.80712

Descriptive statistics

Standard deviation	1977.6209
Coefficient of variation (CV)	4.0773921
Kurtosis	302.6283
Mean	485.02103
Median Absolute Deviation (MAD)	8.6602012
Skewness	11.03441
Sum	2.8165414 × 10⁸
Variance	3910984.5
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	27627	4.8%
0.51875	16663	2.9%
0.1242444	16123	2.8%
0.380625	16075	2.8%
0.989625	16045	2.8%
0.452974375	9298	1.6%
0.5175	9260	1.6%
2.699691037	8924	1.5%
966.9061132	8161	1.4%
0.023295825	7877	1.4%
Other values (66347)	444652	76.6%

Value	Count	Frequency (%)
0	27627	4.8%
0.0045349206	1	< 0.1%
0.00491283065	1	< 0.1%
0.0090698412	1	< 0.1%
0.01095939145	1	< 0.1%
0.013977495	5	< 0.1%
0.01625013215	1	< 0.1%
0.0181396824	1	< 0.1%
0.01927341255	19	< 0.1%
0.0196513226	21	< 0.1%

Value	Count	Frequency (%)
160344.5974	1	< 0.1%
109066.6544	7	< 0.1%
108631.302	1	< 0.1%
86428.33076	1	< 0.1%
86124.28234	1	< 0.1%
85332	1	< 0.1%
84285.89865	1	< 0.1%
83598.54031	1	< 0.1%
74994.95906	1	< 0.1%
70996.224	1	< 0.1%

initiative_financial_savings_GBP
Real number (ℝ)

High correlation Skewed Zeros

Distinct	63282
Distinct (%)	10.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	34672.64

Minimum	-31184615
Maximum	1.0186138 × 10⁸
Zeros	42724
Zeros (%)	7.4%
Negative	74385
Negative (%)	12.8%
Memory size	4.4 MiB

Quantile statistics

Minimum	-31184615
5-th percentile	-29619.643
Q1	22.704825
median	312.8125
Q3	12484.726
95-th percentile	231507.41
Maximum	1.0186138 × 10⁸
Range	1.3304599 × 10⁸
Interquartile range (IQR)	12462.021

Descriptive statistics

Standard deviation	357697.2
Coefficient of variation (CV)	10.316411
Kurtosis	17405.437
Mean	34672.64
Median Absolute Deviation (MAD)	618.0625
Skewness	78.862091
Sum	2.0134576 × 10¹⁰
Variance	1.2794729 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	42724	7.4%
223.7604133	21894	3.8%
22.37604133	16116	2.8%
67.51562002	15355	2.6%
175.540612	15295	2.6%
335.8	10929	1.9%
312.8125	8950	1.5%
182.325	8924	1.5%
536.25	8902	1.5%
68635.4717	7740	1.3%
Other values (63272)	423876	73.0%

Value	Count	Frequency (%)
-31184615.38	3	< 0.1%
-12473846.15	11	< 0.1%
-6236923.077	58	< 0.1%
-3071952	1	< 0.1%
-2695000	4	< 0.1%
-2611159.2	1	< 0.1%
-2450000	11	< 0.1%
-2065198.113	70	< 0.1%
-1968584.906	12	< 0.1%
-1960794	1	< 0.1%

Value	Count	Frequency (%)
101861376.7	1	< 0.1%
69761926.27	1	< 0.1%
54711777.69	1	< 0.1%
53543916.12	1	< 0.1%
47641703.55	1	< 0.1%
36157536.04	1	< 0.1%
34405862.4	1	< 0.1%
32915751.54	1	< 0.1%
28372118.48	1	< 0.1%
24648559.84	1	< 0.1%

initiative_capex_GBP
Real number (ℝ)

High correlation Skewed Zeros

Distinct	35710
Distinct (%)	6.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	373780.23

Minimum	0
Maximum	4.4342474 × 10⁸
Zeros	257522
Zeros (%)	44.3%
Negative	0
Negative (%)	0.0%
Memory size	4.4 MiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	2340
Q3	34000
95-th percentile	1500000
Maximum	4.4342474 × 10⁸
Range	4.4342474 × 10⁸
Interquartile range (IQR)	34000

Descriptive statistics

Standard deviation	2815169.1
Coefficient of variation (CV)	7.531616
Kurtosis	1666.3779
Mean	373780.23
Median Absolute Deviation (MAD)	2340
Skewness	26.039187
Sum	2.1705605 × 10¹¹
Variance	7.9251772 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	257522	44.3%
5000	27671	4.8%
7000	21747	3.7%
3000	20981	3.6%
2340	10101	1.7%
513.6986301	9298	1.6%
6421.232877	9260	1.6%
50000	8348	1.4%
34246.57534	7819	1.3%
128000	7369	1.3%
Other values (35700)	200589	34.5%

Value	Count	Frequency (%)
0	257522	44.3%
87.6	1	< 0.1%
94.9	1	< 0.1%
175.2	1	< 0.1%
211.7	1	< 0.1%
308.2191781	5	< 0.1%
313.9	1	< 0.1%
372.3	13	< 0.1%
379.6	16	< 0.1%
386.9	17	< 0.1%

Value	Count	Frequency (%)
443424743.8	1	< 0.1%
238172276.8	1	< 0.1%
233088321.2	1	< 0.1%
207394705.3	1	< 0.1%
161380868.9	1	< 0.1%
157401624.4	1	< 0.1%
143289430.9	1	< 0.1%
123510007.2	1	< 0.1%
107300546	1	< 0.1%
101218268.1	1	< 0.1%

initiative_implementation_difficulty
Categorical

High correlation

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	31.5 MiB

Moderate	163625
Minor	146944
Negligible	122556
Minimal	77971
Significant	57506
Other values (2)	12103

Length

Max length	11
Median length	10
Mean length	7.8878053
Min length	5

Characters and Unicode

Total characters	4580488
Distinct characters	21
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Negligible
2nd row	Minor
3rd row	Negligible
4th row	Minimal
5th row	Negligible

Common Values

Value	Count	Frequency (%)
Moderate	163625	28.2%
Minor	146944	25.3%
Negligible	122556	21.1%
Minimal	77971	13.4%
Significant	57506	9.9%
Substantial	12031	2.1%
Extreme	72	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
moderate	163625	28.2%
minor	146944	25.3%
negligible	122556	21.1%
minimal	77971	13.4%
significant	57506	9.9%
substantial	12031	2.1%
extreme	72	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
i	732547	16.0%
e	572506	12.5%
M	388540	8.5%
n	351958	7.7%
l	335114	7.3%
a	323164	7.1%
r	310641	6.8%
o	310569	6.8%
g	302618	6.6%
t	245265	5.4%
Other values (11)	707566	15.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4580488	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	732547	16.0%
e	572506	12.5%
M	388540	8.5%
n	351958	7.7%
l	335114	7.3%
a	323164	7.1%
r	310641	6.8%
o	310569	6.8%
g	302618	6.6%
t	245265	5.4%
Other values (11)	707566	15.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4580488	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	732547	16.0%
e	572506	12.5%
M	388540	8.5%
n	351958	7.7%
l	335114	7.3%
a	323164	7.1%
r	310641	6.8%
o	310569	6.8%
g	302618	6.6%
t	245265	5.4%
Other values (11)	707566	15.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4580488	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	732547	16.0%
e	572506	12.5%
M	388540	8.5%
n	351958	7.7%
l	335114	7.3%
a	323164	7.1%
r	310641	6.8%
o	310569	6.8%
g	302618	6.6%
t	245265	5.4%
Other values (11)	707566	15.4%

initiative_operation_difficulty
Categorical

High correlation

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	31.8 MiB

Negligible	222175
Moderate	141275
Minor	104037
Significant	54794
Minimal	51731
Other values (2)	6693

Length

Max length	11
Median length	10
Mean length	8.4557925
Min length	5

Characters and Unicode

Total characters	4910321
Distinct characters	21
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Negligible
2nd row	Negligible
3rd row	Negligible
4th row	Moderate
5th row	Negligible

Common Values

Value	Count	Frequency (%)
Negligible	222175	38.3%
Moderate	141275	24.3%
Minor	104037	17.9%
Significant	54794	9.4%
Minimal	51731	8.9%
Substantial	6621	1.1%
Extreme	72	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
negligible	222175	38.3%
moderate	141275	24.3%
minor	104037	17.9%
significant	54794	9.4%
minimal	51731	8.9%
substantial	6621	1.1%
extreme	72	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
i	822852	16.8%
e	727044	14.8%
l	502702	10.2%
g	499144	10.2%
M	297043	6.0%
n	271977	5.5%
a	261042	5.3%
r	245384	5.0%
o	245312	5.0%
b	228796	4.7%
Other values (11)	809025	16.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	4910321	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	822852	16.8%
e	727044	14.8%
l	502702	10.2%
g	499144	10.2%
M	297043	6.0%
n	271977	5.5%
a	261042	5.3%
r	245384	5.0%
o	245312	5.0%
b	228796	4.7%
Other values (11)	809025	16.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	4910321	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	822852	16.8%
e	727044	14.8%
l	502702	10.2%
g	499144	10.2%
M	297043	6.0%
n	271977	5.5%
a	261042	5.3%
r	245384	5.0%
o	245312	5.0%
b	228796	4.7%
Other values (11)	809025	16.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	4910321	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	822852	16.8%
e	727044	14.8%
l	502702	10.2%
g	499144	10.2%
M	297043	6.0%
n	271977	5.5%
a	261042	5.3%
r	245384	5.0%
o	245312	5.0%
b	228796	4.7%
Other values (11)	809025	16.5%

	emissions_t_CO2e	employees	industry_name	initiative_capex_GBP	initiative_carbon_savings_t_CO2e	initiative_categories	initiative_financial_savings_GBP	initiative_id	initiative_implementation_difficulty	initiative_name	initiative_operation_difficulty	sector_code	turnover
emissions_t_CO2e	1.000	0.506	0.107	0.189	0.290	0.007	0.203	0.121	0.019	0.022	0.018	0.045	0.514
employees	0.506	1.000	0.024	0.034	0.175	0.003	0.103	-0.016	0.003	0.000	0.002	0.032	0.605
industry_name	0.107	0.024	1.000	0.030	0.028	0.251	0.037	0.217	0.215	0.235	0.166	0.690	0.020
initiative_capex_GBP	0.189	0.034	0.030	1.000	0.359	0.018	0.614	-0.067	0.016	0.097	0.032	-0.091	0.113
initiative_carbon_savings_t_CO2e	0.290	0.175	0.028	0.359	1.000	0.035	0.371	0.328	0.076	0.183	0.097	-0.105	0.226
initiative_categories	0.007	0.003	0.251	0.018	0.035	1.000	0.008	0.547	0.389	1.000	0.374	0.125	0.000
initiative_financial_savings_GBP	0.203	0.103	0.037	0.614	0.371	0.008	1.000	0.190	0.408	0.354	0.408	-0.068	0.144
initiative_id	0.121	-0.016	0.217	-0.067	0.328	0.547	0.190	1.000	0.616	1.000	0.537	-0.104	0.066
initiative_implementation_difficulty	0.019	0.003	0.215	0.016	0.076	0.389	0.408	0.616	1.000	1.000	0.648	0.126	0.000
initiative_name	0.022	0.000	0.235	0.097	0.183	1.000	0.354	1.000	1.000	1.000	1.000	0.199	0.011
initiative_operation_difficulty	0.018	0.002	0.166	0.032	0.097	0.374	0.408	0.537	0.648	1.000	1.000	0.096	0.000
sector_code	0.045	0.032	0.690	-0.091	-0.105	0.125	-0.068	-0.104	0.126	0.199	0.096	1.000	-0.214
turnover	0.514	0.605	0.020	0.113	0.226	0.000	0.144	0.066	0.000	0.011	0.000	-0.214	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

	company_id	industry_name	sector_code	sector_name	geography_id	geography_name	turnover	employees	emissions_t_CO2e	initiative_id	initiative_name	initiative_categories	initiative_carbon_savings_t_CO2e	initiative_financial_savings_GBP	initiative_capex_GBP	initiative_implementation_difficulty	initiative_operation_difficulty
0	17ddb3e9830082f66734f5655c0e34a8	M: PROFESSIONAL AND SCIENTIFIC AND TECHNICAL ACTIVITIES	74	Other professional, scientific and technical activities	GB_E07000180	Vale of White Horse	19489692.0	124	64.149522	12	Configure power saving for electronics	Fuel and energy conservation	0.046861	32.360900	0.000000	Negligible	Negligible
1	17ddb3e9830082f66734f5655c0e34a8	M: PROFESSIONAL AND SCIENTIFIC AND TECHNICAL ACTIVITIES	74	Other professional, scientific and technical activities	GB_E07000180	Vale of White Horse	19489692.0	124	64.149522	113	Install optimiser to reduce grid voltage for electrical equipment	Fuel and energy conservation	12.319127	7825.915176	34067.912151	Minor	Negligible
2	17ddb3e9830082f66734f5655c0e34a8	M: PROFESSIONAL AND SCIENTIFIC AND TECHNICAL ACTIVITIES	74	Other professional, scientific and technical activities	GB_E07000180	Vale of White Horse	19489692.0	124	64.149522	105	Replace 50% of milk with dairy alternatives in office canteens	Sustainable policies and practices	5.859000	-1674.000000	0.000000	Negligible	Negligible
3	17ddb3e9830082f66734f5655c0e34a8	M: PROFESSIONAL AND SCIENTIFIC AND TECHNICAL ACTIVITIES	74	Other professional, scientific and technical activities	GB_E07000180	Vale of White Horse	19489692.0	124	64.149522	110	Optimise food production in office canteens to meet demand	Waste reduction	46.500000	18748.800000	0.000000	Minimal	Moderate
4	17ddb3e9830082f66734f5655c0e34a8	M: PROFESSIONAL AND SCIENTIFIC AND TECHNICAL ACTIVITIES	74	Other professional, scientific and technical activities	GB_E07000180	Vale of White Horse	19489692.0	124	64.149522	108	Purchase food for office canteens in sustainable packaging	Waste reduction	10.713600	-1422.900000	0.000000	Negligible	Negligible
5	17ddb3e9830082f66734f5655c0e34a8	M: PROFESSIONAL AND SCIENTIFIC AND TECHNICAL ACTIVITIES	74	Other professional, scientific and technical activities	GB_E07000180	Vale of White Horse	19489692.0	124	64.149522	104	Have a vegetarian default meal in office canteens	Sustainable policies and practices	9.541800	5022.000000	0.000000	Moderate	Minor
6	17ddb3e9830082f66734f5655c0e34a8	M: PROFESSIONAL AND SCIENTIFIC AND TECHNICAL ACTIVITIES	74	Other professional, scientific and technical activities	GB_E07000180	Vale of White Horse	19489692.0	124	64.149522	9	Replace light bulbs with LEDs	Fuel and energy conservation	0.452974	312.812500	513.698630	Negligible	Negligible
7	17ddb3e9830082f66734f5655c0e34a8	M: PROFESSIONAL AND SCIENTIFIC AND TECHNICAL ACTIVITIES	74	Other professional, scientific and technical activities	GB_E07000180	Vale of White Horse	19489692.0	124	64.149522	38	Provide a public transport benefit	Sustainable policies and practices	38.688000	0.000000	0.000000	Negligible	Negligible
8	17ddb3e9830082f66734f5655c0e34a8	M: PROFESSIONAL AND SCIENTIFIC AND TECHNICAL ACTIVITIES	74	Other professional, scientific and technical activities	GB_E07000180	Vale of White Horse	19489692.0	124	64.149522	42	Use recycled paper in offices	Waste reduction	2.534560	-226.300000	905.200000	Minimal	Negligible
9	17ddb3e9830082f66734f5655c0e34a8	M: PROFESSIONAL AND SCIENTIFIC AND TECHNICAL ACTIVITIES	74	Other professional, scientific and technical activities	GB_E07000180	Vale of White Horse	19489692.0	124	64.149522	67	Install an economiser on an existing boiler	Fuel and energy conservation	0.989625	175.540612	5000.000000	Minor	Minor

	company_id	industry_name	sector_code	sector_name	geography_id	geography_name	turnover	employees	emissions_t_CO2e	initiative_id	initiative_name	initiative_categories	initiative_carbon_savings_t_CO2e	initiative_financial_savings_GBP	initiative_capex_GBP	initiative_implementation_difficulty	initiative_operation_difficulty
580695	b9f27988ca183aae78ed5c4ce129842e	P: EDUCATION	85	Education	GB_E09000020	Kensington and Chelsea	13108986.0	143	903.850487	60	Install battery capacity to store off-peak electricity	Fuel and energy conservation	0.517500	536.250000	6421.232877	Moderate	Significant
580696	b9f27988ca183aae78ed5c4ce129842e	P: EDUCATION	85	Education	GB_E09000020	Kensington and Chelsea	13108986.0	143	903.850487	42	Use recycled paper in offices	Waste reduction	2.902480	-259.150000	1036.600000	Minimal	Negligible
580697	b9f27988ca183aae78ed5c4ce129842e	P: EDUCATION	85	Education	GB_E09000020	Kensington and Chelsea	13108986.0	143	903.850487	37	Buy bikes to encourage staff to cycle to work	Travel sustainability	16.614000	0.000000	14910.000000	Minimal	Minimal
580698	b9f27988ca183aae78ed5c4ce129842e	P: EDUCATION	85	Education	GB_E09000020	Kensington and Chelsea	13108986.0	143	903.850487	21	Install solar energy systems for office power	Fuel and energy conservation	5.176850	2718.835616	34246.575342	Significant	Significant
580699	b9f27988ca183aae78ed5c4ce129842e	P: EDUCATION	85	Education	GB_E09000020	Kensington and Chelsea	13108986.0	143	903.850487	9	Replace light bulbs with LEDs	Fuel and energy conservation	0.452974	312.812500	513.698630	Negligible	Negligible
580700	b9f27988ca183aae78ed5c4ce129842e	P: EDUCATION	85	Education	GB_E09000020	Kensington and Chelsea	13108986.0	143	903.850487	17	Install motion sensors for lighting	Fuel and energy conservation	0.023296	16.087500	0.000000	Minimal	Negligible
580701	b9f27988ca183aae78ed5c4ce129842e	P: EDUCATION	85	Education	GB_E09000020	Kensington and Chelsea	13108986.0	143	903.850487	74	Replace van tyres with eco-tyres	Transportation sustainability	1069.284408	41181.283019	128000.000000	Moderate	Moderate
580702	b9f27988ca183aae78ed5c4ce129842e	P: EDUCATION	85	Education	GB_E09000020	Kensington and Chelsea	13108986.0	143	903.850487	107	Set optimal temperature of food storage in office canteens	Waste reduction	27.317250	1725.300000	0.000000	Negligible	Negligible
580703	b9f27988ca183aae78ed5c4ce129842e	P: EDUCATION	85	Education	GB_E09000020	Kensington and Chelsea	13108986.0	143	903.850487	69	Regularly clean and change HVAC filters	Fuel and energy conservation	0.124244	335.800000	0.000000	Minor	Negligible
580704	b9f27988ca183aae78ed5c4ce129842e	P: EDUCATION	85	Education	GB_E09000020	Kensington and Chelsea	13108986.0	143	903.850487	13	Configure auto-off for office electronics when not in use	Fuel and energy conservation	0.214653	148.233800	0.000000	Negligible	Negligible

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values